Interactive effects of fish predation and sublethal insecticide concentrations on freshwater zooplankton communities

Gutiérrez, María Florencia; Molina, Florencia Rojas; Frau, Diego; Mayora, Gisela; Battauz, Yamila S.

doi:10.1016/j.ecoenv.2020.110497

Cited by 13 publications

(3 citation statements)

References 67 publications

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“…Finally, we found that pesticides were not related to the community metrics (abundance, biomass, diversity Shannon index, and evenness). This contrasts with our expectations based on previous experimental studies in which significant changes in such metrics were found due to different pesticides applications (Chang et al, 2005; Gutierrez, Molina, et al, 2020; López‐Mancisidor et al, 2008). Anyway, although we found no evidence of influence of pesticides on community metrics, we did found that Pest‐index (a variable calculated on the basis of the number and concentration of pesticides registered in water) was significant in the RDA, being related to the zooplankton taxonomic composition at the basin scale.…”

Section: Discussioncontrasting

confidence: 99%

Zooplankton shifts from headwater to lowland streams: Insights into the role of water quality to assist the protection and restoration of agricultural waterways

et al. 2022

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Despite the critical importance of zooplankton for many ecological processes, knowledge of its structure and distribution patterns in small streams subject to intensive land uses remains limited. Here we analysed changes in zooplankton community and composition in 10 sites located in streams from first‐order to sixteenth‐order, according to Shreve's classification, in a small catchment influenced by intensive agriculture. Using univariate and multivariate methods, we investigated the extent to which local scale environmental factors explained the spatial patterns of zooplankton community. We found that environmental conditions of headwaters differed markedly from those of lowland streams, especially with respect to nutrient levels, which were higher in the former than the latter. Zooplankton community was mainly composed by microphagous rotifers, and the overall species composition differed with the stream order. While zooplankton diversity and evenness increased with stream order and correlated negatively with nutrient level, zooplankton abundance and biomass showed the opposite trend. The mechanistic processes creating these patterns remain unknown but are likely linked to the effects of greater water mixing and dilution in lowland streams, as well as ecological processes such as predation and resource diversification. No clear pattern was found for presence or concentrations of pesticides in relation to the stream order. However, water quality seemed to be an important factor influencing zooplankton assemblages, which were significantly associated with pesticides and trophic state variables. Our findings suggest that agricultural pollution is impacting the zooplankton community, which may have implications for the food webs and overall health of the stream systems.

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Section: Discussioncontrasting

confidence: 99%

Zooplankton shifts from headwater to lowland streams: Insights into the role of water quality to assist the protection and restoration of agricultural waterways

et al. 2022

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“…Knowledge of the aquatic diversity will help calibrate metabarcoding methodologies to detect any environmental threat from alien species introduction (carrying changes in predation, for example) to pollution. It has been demonstrated that zooplankton responds rapidly to these stressors [66], making it an excellent element to assess any change in the environment [67].…”

Section: General Remarks and Future Biomonitoringmentioning

confidence: 99%

DNA Barcodes Applied to a Rapid Baseline Construction in Biodiversity Monitoring for the Conservation of Aquatic Ecosystems in the Sian Ka’an Reserve (Mexico) and Adjacent Areas

Valdéz-Moreno

Mendoza‐Carranza

E³

et al. 2021

Diversity

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This study is focused on the aquatic environments of the Sian Ka’an reserve, a World Heritage Site. We applied recently developed protocols for the rapid assessment of most animal taxa inhabiting any freshwater system using light traps and DNA barcodes, represented by the mitochondrial gene Cytochrome Oxidase I (COI). We DNA barcoded 1037 specimens comprising mites, crustaceans, insects, and fish larvae from 13 aquatic environments close or inside the reserve, with a success rate of 99.8%. In total, 167 barcode index numbers (BINs) were detected. From them, we identified 43 species. All others remain as a BIN. Besides, we applied the non-invasive method of environmental DNA (eDNA) to analyze the adult fish communities and identified the sequences obtained with the Barcode of Life Database (BOLD). All round, we found 25 fish species and other terrestrial vertebrates from this region. No alien species was found. After comparing the BINs from all systems, we found that each water body was unique with respect to the communities observed. The reference library presented here represents the first step for future programs to detect any change in these ecosystems, including invasive species, and to improve the knowledge of freshwater zooplankton, enhancing the task of compiling the species barcodes not yet stored in databases (such as BOLD or GenBank).

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“…The knowledge of the aquatic diversity will help calibrate metabarcoding methodologies to detect any environmental threat from alien species introduction (carrying changes in predation, for example) to pollution. It has been demonstrated that zooplankton responds rapidly to these stressors [62], making it an excellent element to assess any change in the environment [63].…”

Section: General Remarks and Future Biomonitoringmentioning

confidence: 99%

Dna Barcodes, a Powerful Tool for a Rapid Construction of a Baseline and Conservation of Aquatic Ecosystems in Sian Ka’an Reserve (Quintana Roo State, Mexico) And Adjacent Areas

Mv¹,

Mm²,

E³

et al. 2021

Preprint

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This study is focused to the aquatic environments of the Sian Ka’an reserve, a World Heritage Site. We applied protocols recently developed for the rapid assessment of most animal taxa inhabiting any freshwater system, by using light traps, and DNA barcodes, represented by the mitochondrial gene Cytochrome Oxidase I (COI). We DNA barcoded 1037 specimens of mites, crustaceans, insects, and fish larvae from 13 aquatic environments close or inside the reserve, with a success rate of 99.8%. In total, 167 Molecular Operational Taxonomic Units (MOTU’s) were detected. From them we identified 43 species. All others remain as a MOTU. For analyzing the adult fish communities, we applied the non-invasive method of environmental DNA (eDNA), and identified the sequences obtained with the Barcode of Life Database (BOLD). We found 25 fish species, and other terrestrial vertebrates from this region. No alien species was found. After a comparison of the MOTU’s from all systems, we found that each water body was unique respect the communities observed. The reference library presented here represents the first step for future programs to detect any change in these ecosystems, including invasive species, or improve knowledge of freshwater zooplankton, because most of the MOTU’s are possibly new species to science.

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Interactive effects of fish predation and sublethal insecticide concentrations on freshwater zooplankton communities

Cited by 13 publications

References 67 publications

Zooplankton shifts from headwater to lowland streams: Insights into the role of water quality to assist the protection and restoration of agricultural waterways

Zooplankton shifts from headwater to lowland streams: Insights into the role of water quality to assist the protection and restoration of agricultural waterways

DNA Barcodes Applied to a Rapid Baseline Construction in Biodiversity Monitoring for the Conservation of Aquatic Ecosystems in the Sian Ka’an Reserve (Mexico) and Adjacent Areas

Dna Barcodes, a Powerful Tool for a Rapid Construction of a Baseline and Conservation of Aquatic Ecosystems in Sian Ka’an Reserve (Quintana Roo State, Mexico) And Adjacent Areas

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